I applied through an employee referral. I interviewed at Amazon (Seattle, WA) in May 2022
Interview
In the first round, several BQs plus Python coding, where the difficulty of the coding part is Easy-Medium level on Leetcode. In the second round, several BQs again plus a bunch of stats knowledge.
Interview questions [1]
Question 1
Do you know the Bayesian Theorem? Please describe it.
frist round: 1 interview (behavioral, SQL/Python)
final round: 5 interviews (behavioral, SQL/Python, technical).
Recruiters will give you details about the content and format of the interviews which can help you prepare.
Interview questions [1]
Question 1
Behavioral Questions:
Tell me about a time when...
- ... you went above and beyond for a customer.
- ... you saw an issue that your team could face and *proactively* took action to mitigate it.
- ... you had to meet a tight deadline.
- ... you realized you did not have the skills needed to do the job.
- ... solved a complex problem in a simple way.
Technical Questions
- Tell me about a project you worked on and explain it to me in detail (technical work such as ML project, simulation project, etc)
- Say you want to predict how many units of an item you want to stock in a grocery store each day for the next week. How would you go about doing that?
- A/B testing of green vs yellow color for the buy button. How would you design this experiment?
- What is random about a random forest?
- How would you assess a model's performance on a dataset with unbalanced target classes?
I applied online. I interviewed at Amazon (Londres, Inglaterra)
Interview
It was simple and straight, the questions were asked directly from the data science space but also included the topics that are relatedly to the statistics such as hypothesis, testing and model testing. Also, the main focus of the interview was on the projects that I have did in the past, and my current achievements.
Interview questions [1]
Question 1
What is the meaning of P value? How would you interpret it?